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Communicating with Data 2010 Annual Meeting
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MacKenzie Smith Associate Director
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6.
How Much Information? “IDC
research shows that the digital universe —information that is either created, captured, or replicated in digital form — was 281 exabytes in 2007. In 2011, the amount of digital information produced in the year should equal nearly 1,800 exabytes, or 10 times that produced in 2006. The compound annual growth rate between now and 2011 is expected to be almost 60%” The Diverse and Exploding Digital Universe, 2008 IDC White Paper 6 CrossRef Annual Meeting ©2010, MIT
7.
How Much Information? 7 Sequence
Submissions to DNA DataBank of Japan 1993-2005 CrossRef Annual Meeting ©2010, MIT
8.
What Is Research
Data? Observational e.g. sensor, telemetry, survey, sample data Experimental e.g. genetic sequences, chromatograms Simulation e.g. climate, economic, 3-D models Media e.g. images, audio, video Derived/compiled e.g. text/data mining, compiled databases Often expensive or impossible to reproduce 8 CrossRef Annual Meeting ©2010, MIT
9.
What Is Research
Data? Text e.g. flat text files, Word, PDF Numerical e.g. SPSS, STATA, Excel, MySQL Media e.g. jpeg, tiff, dicom, mpeg, quicktime Models e.g. 3D, statistical Software e.g. Java, C programs Domain-specific e.g. FITS in astronomy, CIF in chemistry Instrument-specific e.g. Olympus con-focal microscope Not always in neat packages like books 9 CrossRef Annual Meeting ©2010, MIT
10.
What Do Researchers
Do With Data? Analyze (e.g. process, visualize) Share Review (evaluate methods) Annotate Cite Re-use (reproduce results) Re-purpose (e.g. integrate) CrossRef Annual Meeting ©2010, MIT
11.
Data Sharing Innovations
New-fangled Hybrid Articles Integrate text, data and tools Enhanced PDFs Linked Open Data Access to data via Web standards to encourage large-scale interoperability “Data Papers” CrossRef Annual Meeting ©2010, MIT
12.
Issues in Data
Curation Storage very large scale Metadata what standard to use? Provenance research methods Identifiers scalability, persistence Preservation see slide #5 on formats Sharing laws confusing, not interoperable CrossRef Annual Meeting ©2010, MIT
13.
Data Sharing Trends “The
NIH expects and supports the timely release and sharing of final research data from NIH- supported studies for use by other researchers.” NIH grant proposal guide Similar data management, sharing mandates from US NSF, other funding agencies worldwide Journals mandating deposit (e.g. Journal of Evolutionary Biology) 13 CrossRef Annual Meeting ©2010, MIT
14.
Data Interoperability IPR and
data licenses Lots of data not copyrightable since facts cannot be copyrighted UK, EU, some other countries have sui generis data rights Laws not “interoperable” Big problem for international scientific collaborations and data re-purposing 14 CrossRef Annual Meeting ©2010, MIT
15.
BWIN presentation ©2010,
MIT 15
16.
Libraries and Data Established
curation for some data types statistical (Harvard-MIT Data Center) geospatial (Geodata Repository) bioinformatics (via NLM NCBI) digital media (e.g. images, videos) datasets (IR digital archives) 16 CrossRef Annual Meeting ©2010, MIT
17.
BWIN presentation ©2010,
MIT 17
18.
Libraries and Data Applies
to both faculty-authored and externally-acquired data Consultation services (in-person, via Website) Liaise with data archives (e.g. ICPSR) Develop (meta)data standards (e.g. DDI) Manage and preserve data 18 CrossRef Annual Meeting ©2010, MIT
19.
BWIN presentation ©2010,
MIT 19
20.
Robotics Data in
DSpace@MIT The Library: Defined local taxonomy for metadata values Customized metadata records Adapted/simplified deposit workflow Loaded data from previous repository Added CC0 licenses Review of new deposits done by community 20 CrossRef Annual Meeting ©2010, MIT
21.
CrossRef Annual Meeting
©2010, MIT
22.
22
23.
Researcher’s Role: Data
Provision e.g. Sage Commons “The Sage Commons is a novel information platform being built by an international partnership of researchers and stakeholders to define the molecular basis of disease and guide the development of effective human therapeutics and diagnostics. The Sage Commons will be used to integrate diverse molecular mega-data sets, to build predictive bionetworks and to offer advanced tools proven to provide unique new insights into human disease biology. Users will also be contributors that advance the knowledge base and tools through their cumulative participation. The public access mission of the Sage Commons requires the development of a new strategic and legal framework to protect the rights of contributors while providing widespread access to integrative genomics resources.” 23 CrossRef Annual Meeting ©2010, MIT
24.
Library’s Role: Data Curation
Data organization and annotation e.g. ontologies and metadata Data archiving, preservation e.g. perpetual access Outreach and support to local researchers 24 CrossRef Annual Meeting ©2010, MIT
25.
Publisher’s Role: Data
Accreditation Require data deposit to archives Publish data journals Manage peer review (quality control) Provide credit for data publishing (evolution of promotion & tenure system) 25 CrossRef Annual Meeting ©2010, MIT
26.
Data Papers Revisited “a
formal publication whose primary purpose is to expose and describe data, as opposed to analyze and draw conclusions from it.” 1. Organize peer-review, establish quality-control measures 2. Create citable entity 3. Establish cross-linking mechanisms with traditional papers, to enforce separation of concerns (methodology vs analysis) 4. Specify required documentation to make data re-usable, re-purposable 5. Apply standard interoperable legal license (CC0 or PDDL with normative attribution, CC-By with URI attribution) 6. Ensure archiving strategy in place Jonathan Rees, Recommendations for independent scholarly publication of data sets, Creative Commons Working Paper, March 2010, http://neurocommons.org/report/data-publication.pdf CrossRef Annual Meeting ©2010, MIT
27.
Questions? CrossRef Annual Meeting
©2010, MIT
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